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Jiaming Li, Ning Xie and Tingting Zhao
In recent years, with the rapid advancements in Natural Language Processing (NLP) technologies, large models have become widespread. Traditional reinforcement learning algorithms have also started experimenting with language models to optimize training. ...
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Joseph Gesnouin, Steve Pechberti, Guillaume Bresson, Bogdan Stanciulescu and Fabien Moutarde
Understanding the behaviors and intentions of humans is still one of the main challenges for vehicle autonomy. More specifically, inferring the intentions and actions of vulnerable actors, namely pedestrians, in complex situations such as urban traffic s...
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Tianyu Yu, Cuiwei Liu, Zhuo Yan and Xiangbin Shi
Predicting the categories of actions in partially observed videos is a challenging task in the computer vision field. The temporal progress of an ongoing action is of great importance for action prediction, since actions can present different characteris...
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Rafael Luan Sehn Canevesi, Elizeu Avelino Zanella Junior, Rodrigo Augusto Barella, Tiago Dias Martins, Marcos Flávio Pinto Moreira, Edson Antonio da Silva
Pág. 53 - 60
The Law of Mass Action generally models the equilibrium data from ion exchange processes. This methodology is rigorous in terms of thermodynamics and takes into consideration the non-idealities in the solid and aqueous phases. However, the artificial neu...
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Prabu Mohandas, Jerline Sheebha Anni, Khairunnisa Hasikin, Dhayalan Velauthapillai, Veena Raj, Thanihaichelvan Murugathas, Muhammad Mokhzaini Azizan and Rajkumar Thanasekaran
Barking is a form of vocal communication made by dogs. Each type of bark made by dogs has a distinct context. The classification of dog bark pattern will aid in the understanding of barking action. In this study, a machine learning algorithm is used to a...
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Jürgen Helmert, Aynur Sensoy Sorman, Rodolfo Alvarado Montero, Carlo De Michele, Patricia De Rosnay, Marie Dumont, David Christian Finger, Martin Lange, Ghislain Picard, Vera Potopová, Samantha Pullen, Dagrun Vikhamar-Schuler and Ali Nadir Arslan
The European Cooperation in Science and Technology (COST) Action ES1404 “HarmoSnow”, entitled, “A European network for a harmonized monitoring of snow for the benefit of climate change scenarios, hydrology and numerical weather predicti...
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Zhen Yao, Jie Chen, Changbo Jiang, Hai Liang, Zhiyuan Wu, Bin Deng, Yuannan Long and Chen Bian
This study utilized 50 laboratory experiments to document the evolution of coral beaches under varying regular wave conditions, including five distinct wave periods and ten wave heights. Both the type of equilibrium beach and the shape of sand bars were ...
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Shiqi Yue and Yuanwu Shi
With the rapid development of computer and artificial intelligence technology, robots have been widely used in assembly, sorting, and other work scenarios, gradually changing the human-oriented mechanical assembly line working mode. Traditional robot con...
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Cunjin Lu, Jinpeng Xu, Qiang Li, Hui Zhao and Yao He
The accurate prediction of the height of the water-conducting fracture zone is essential for the prevention of roof damage by water disasters in coal mines. The development law of water-conducting fracture zone in combined mining of Jurassic and Carbonif...
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Cecília Vale and Maria Lurdes Simões
For scheduling track maintenance, infrastructure managers perform inspections to assess the track condition. When the irregularities are higher than the threshold limits, a track has a defect that should be corrected to avoid future failures or traffic d...
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Seyed Amirhossein Hosseini and Omar Smadi
One of the most important components of pavement management systems is predicting the deterioration of the network through performance models. The accuracy of the prediction model is important for prioritizing maintenance action. This paper describes how...
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Yi-Hua Chung, Jun-Fu Huang, Yuan-Chen Hu, Chen-Kang Huang
Pág. 74 - 89
It is known that climate change causes a decrease in the profit gained from agricultural production. This work designs and establishes weather boxes equipped with functions of rainfall prediction, frosting forecast, and lightning detection. With the wire...
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Saeed Moghimi, Andre Van der Westhuysen, Ali Abdolali, Edward Myers, Sergey Vinogradov, Zaizhong Ma, Fei Liu, Avichal Mehra and Nicole Kurkowski
To enable flexible model coupling in coastal inundation studies, a coupling framework based on the Earth System Modeling Framework (ESMF) and the National Unified Operational Prediction Capability (NUOPC) technologies under a common modeling framework ca...
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Qiao Yan, Xiaoqian Liu, Xiaoping Deng, Wei Peng and Guiqing Zhang
Prediction of energy use behaviors is a necessary prerequisite for designing personalized and scalable energy efficiency programs. The energy use behaviors of office occupants are different from those of residential occupants and have not yet been studie...
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Hung Cao and Monica Wachowicz
The proliferation of Internet of Things (IoT) systems has received much attention from the research community, and it has brought many innovations to smart cities, particularly through the Internet of Moving Things (IoMT). The dynamic geographic distribu...
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Kun Fan, Chungin Joung and Seungjun Baek
Video prediction which maps a sequence of past video frames into realistic future video frames is a challenging task because it is difficult to generate realistic frames and model the coherent relationship between consecutive video frames. In this paper,...
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Fedor Krasnov,Sofia Dokuka,Rostislav Yavorskiy
Pág. 17 - 24
This paperaimstoexploretheanalysisand prediction of the scientific research work. Authors examine the scientific research work as collective complex action. Authors investigated the methodological basis of the team formation for the scientific research. ...
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Maryam Hosseinzadeh,Saeed Daei-Karimzadeh
Pág. 166 - 174
Numerous factors affect the insurance industry and its growth and development that comprehensive study and recognition about them and taking action to solve or control the negative effects of each one can in turn have a significant effect on the developm...
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Nur Ainna Ramli,Gilbert Nartea
Pág. 301 - 307
In theory, capital structure determinant is a cause-effect model. We investigate the simultaneously of cause-effect framework on the impact of specific attributes on firm?s financial performance through leverage which acts as a mediation variable. We use...
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Madelaine Plauché,Alta de Waal,Aditi Sharma Grover,Tebogo Gumede
Pág. pp. 1 - 20 pgs.
Successful ICT projects depend on complex, interrelated sociological and technical factors for which there are no standard theoretical framework for prediction or analysis. Morphological analysis is a problem-solving method for defining, linking, and eva...
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